以此为目的，基本的想法是创建一个用户定义组合函数，此函数首先调用模型创建过程，之后再提取规则并将这些规则作为结果集返回。
In order to do this, the basic idea is to create a combined user-defined function that first invokes the model creation process and that then extracts the rules and returns them as a result set.
游标模型考虑了不对称和大型结果集的情况。
The cursor model takes into account the cases of asymmetry and large result sets.
当您每次运行挖掘模型时，花一点时间来打开结果集并给它起一个新名字。
Every time you run a mining model, take a moment to open it up and give a new name for the result set.
采用可变模糊集模型进行评价，以级别特征值方法量化评价结果，可有效解决最大隶属原则的不适应性。
Combined with Feature Value of Grades for results quantification, applying Variable Fuzzy Set model on assessment could overcome the unfitness of the maximum membership principle.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
然后构造一种新的基于区域信息的速度函数，由水平集模型对其演化，得到了较好的结果。
Level set model improved by constructing velocity function using regional information is employed to evolve the curve, and the better results are obtained.
使用集总参数非线型模型来分析蒸发管中汽液两相流压力降型脉动，结果表明：压力降型不稳定性可以用二阶常微分方程来描述。
The pressure drop pulsation is analyzed by using a lumped parameter nonlinear model. The results show that the pressure drop type instability can be described by a second-order differential equation.
在几句话你需要做同样的事情，你先创建一个模型，支持输入和一个支持结果类类集。
In few words you need to do the same that you do with model first, create a class that supports the inputs and a class that supports the result set.
对心脏MR图像的分割试验表明，带先验约束的扩散水平集混合模型对左心室内外壁轮廓的分割结果较为理想。
Second, this new framework introduces a high efficiency shape and anatomy prior constraints model. The experiments on the cardiac MR images show the Diffusion Level Set can get nice result.
新的约简模型将满足平均决策强度条件的最简规则集作为最终的约简结果，解决了不相容决策表约简结果不一致的问题。
The most concise decision rule set that satisfies condition of mean decision power is regarded as final reduction result in the new reduction model.
实验结果表明，该模型不但能有效地对数据集进行约简，而且还具有结构简单、具有良好的扩展性等优点。
The experimental results show that the model not only effectively reduces the attribute of rough set, but also has the advantages of simple structure and good extensibility.
采用混合水平集模型分割的结果可用于三维重建和三维充填物计算，从而达到计算机辅助指导临床手术的目的。
The segment results of hybrid level set model can be used in 3-D eye socket reconstruction and calculation of hydroxyapatite implant, which are useful in computer-aided surgery.
用BP网络建立识别储集类型模型，识别结果与成像测井识别结果和岩心分析结果吻合。
The BP neural network based reservoir model provides the same result as that of FMI and core analysis.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
The example result shows that the random-sets method is a nice approach to time series analysis.
实验结果表明，使用SVM - GMM模型能有效地提高开集说话人识别的识别率。
Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively.
采用KDD CUP99数据集进行测试实验，结果表明：该模型能够获得较高的检测正确率，同时具有较低的漏报率及误报率。
KDD CUP '99 is adopted in experiment and the result shows the model gets the lower false negative rate and false positive rate besides the higher accuracy.
结果表明，数学模型较为准确地反映了实际情况，数值模拟结果对柴油机微粒捕集器的优化设计有参考价值。
The result indicates that the mathematic model has satisfactory accuracy, at the same time, the simulation result can be used as a reliable tool for optimized design of diesel particular filters.
本文对粗糙集理论作了进一步的扩充，提出了众数粗糙集模型，并将该模型应用到医用物理学习动机因素与效果关联性分析中，取得了很多有意义的结果。
The modal of mode rough set is raised and the modal is applied to motive factor on medical physics learning and on the analysis of effect relativity, and many significant results are obtained.
可变模糊集方法以可变模糊集理论为基础，通过模型参数的变化，提高评价结果的可靠性。
Variable fuzzy sets methods are based on variable fuzzy sets theory. Through variability of model parameters, the reliability of evaluation could be enhanced.
该模型首先利用SVM算法对全部的输人数据进行区分，然后将其认为的合法数据集用KMO算法分类，以该结果作为决策模块的输入并做出最终的响应。
In this model, firstly use the SVM algorithm to filter all the input data, then the considered legitimate data is classified with KMO, so the decision-making module can respond the final input data.
结果显示，采用集总参数法计算车辆传动装置的传热是可行的，所建立的传热仿真模型具有较好的仿真精度，可以用于齿轮传动箱的热工况研究。
The result shows that the method is feasible, the whole model has a high computational accuracy. The model has a good imitate accuracy, and can be used for the calculation …
结果：所建的5个模型对验证集样品水分含量的预测值与实测值的相关系数均在0.90以上，预测误差均方根（RMSEP）均在0.05以下。
Result:The coefficients of correlation of inner cross validation and external validation are both above 0.90, and the RMSECV and RMSEP are both below 0.05.
利用UCI标准数据集对本文所提出的样本选择模型进行测试，实验结果证明了该模型的有效性。
The proposed sample selection model is tested on UCI dataset, which proves the efficiency of the model.
在PKDD2009数据集上测试实验结果表明，该模型较之已提出的自然法和共现法，取得了更高的准确率和召回率。
The experimental results on dataset PKDD2009 show that the new model can achieve a higher precision and recall rate, which outperforms the nave method and co-occurrence method.
此算法首先结合RAC和K -均值聚类方法对未知模型的特征点进行预匹配，得到的匹配结果称为聚类点集。
Firstly, RAC and K-means clustering method are combined in this algorithm by the way of searching pre-matches feature points, which are called the cluster point set, of the unknown model.
在三个测验样例数据集上的实验结果表明，我们的模型表现结果超过现今流行的有监督学习的话题模型。
Experimental results on three benchmark datasets demonstrate that the model outperforms state-of-the-art supervised topic models.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
应用推荐